activity
20132025
most citedConvergence of Monte Carlo Tree Search in Simultaneous Move Games

16 citations · 43 across the 12 of their papers we have counts for

collaborators

17 papers

cs.GT2025

AI Testing Should Account for Sophisticated Strategic Behaviour

Vojtech Kovarik, Eric Olav Chen, Sami Petersen +2

This position paper argues for two claims regarding AI testing and evaluation. First, to remain informative about deployment behaviour, evaluations need account for the possibility…

cs.GT2025

Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games

David Milec, Vojtěch Kovařík, Viliam Lisý

We study the problem of adapting to a known sub-rational opponent during online play while remaining robust to rational opponents. We focus on large imperfect-information (zero-sum…

cs.GT2024

Game Theory with Simulation in the Presence of Unpredictable Randomisation

Vojtech Kovarik, Nathaniel Sauerberg, Lewis Hammond +1

AI agents will be predictable in certain ways that traditional agents are not. Where and how can we leverage this predictability in order to improve social welfare? We study this q…

cs.CY2024★ 1 cited

Extinction Risks from AI: Invisible to Science?

Vojtech Kovarik, Christian van Merwijk, Ida Mattsson

In an effort to inform the discussion surrounding existential risks from AI, we formulate Extinction-level Goodhart's Law as "Virtually any goal specification, pursued to the extre…

cs.AI2024

Recursive Joint Simulation in Games

Vojtech Kovarik, Caspar Oesterheld, Vincent Conitzer

Game-theoretic dynamics between AI agents could differ from traditional human-human interactions in various ways. One such difference is that it may be possible to accurately simul…

cs.GT2023★ 2 cited

Game Theory with Simulation of Other Players

Vojtech Kovarik, Caspar Oesterheld, Vincent Conitzer

Game-theoretic interactions with AI agents could differ from traditional human-human interactions in various ways. One such difference is that it may be possible to simulate an AI…